This study investigates the influence of visited places and activities on personal exposure to PM2.5, considering seasonal and weekday/weekend variations. Data were collected from 54 senior participants in South Korea using GPS devices, personal air …
This study analyzes the spatiotemporal changes of bus network clusters before and after COVID-19 with the purpose of exploring areas with high potential for the spread of infectious diseases. As the analysis method, the statistic was used, which is …
This study aims to predict the spatio-temporal change of the urban sprawl in Jeju isalnd. This study consists of three stages. First, we construct 2009 and 2019 social-environment data for 2009 and 2019, which are the basis for the sprawl prediction. …